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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Data & Analytics projects, translating complex business requirements into effective solutions, and building robust data pipelines. Proven ability to mentor teams and deliver high-quality results in client-facing environments.
Highest-signal resume keywords
Data Warehouse SolutionsETL DesignCloud Technologies (AWS or Microsoft Azure)Data IntegrationData Modelling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData IngestionAnalytics SolutionsBusiness IntelligenceData Quality AssuranceProject DeliveryProblem-SolvingConsulting ExperienceTechnical LeadershipClient Engagement
Soft Skills
Communication SkillsCoachingMentoringAutonomyAccountability
Tools & Technologies
SnowflakeDatabricksMicrosoft Fabric
Certifications & Qualifications
Tertiary Qualification in IT
Industry Keywords
Data & AnalyticsData PipelinesIndustry TrendsProfessional ServicesConsulting
Tech Stack
Tools & technologiesAWSAzureCloudETL
About the role
Key responsibilities & impact- Lead and deliver Data & Analytics projects on time, within scope, and to agreed quality standards
- Design and develop high-quality business and technical solutions that improve performance and unlock opportunities for clients
- Take ownership of work with autonomy, accountability, and a solutions-focused mindset
- Translate complex requirements into clear, effective Data & Analytics solutions for technical and non-technical audiences
- Stay ahead of industry, technology, and methodology trends
- Lead small to medium project teams, providing technical and team leadership
- Coach and mentor junior team members
- Build and maintain robust data pipelines, implement data engineering solutions, and ensure data quality and accuracy
- Contribute to proposals, identify new opportunities, and support Altis’ growth
- Help develop and refine Altis methodologies and project collateral
Requirements
What you’ll need- Experience linking and translating business requirements into Data Warehouse, Business Intelligence, and Analytics solutions
- Data integration with a variety of data sources and tools to extract, transform, and load data
- Good skills in data modelling, data ingestion, and ETL design
- Experience in cloud Technologies (AWS or Microsoft Azure is highly desirable)
- Strong problem-solving skills and awareness of industry trends
- Excellent verbal and written communication skills
- A background in consulting and professional services
- Tertiary qualification in an IT-related subject, or relevant work experience
- 5–7 years of consulting and implementation experience
- 5–7 years broad IT experience
- 5+ years experience of leading data & analytics tools
- 5+ years delivering projects in a client facing environment
- Experience with Snowflake, Databricks, and Microsoft Fabric is advantageous, but not essential
Benefits
Comp & perks- A career pathway with ongoing learning and development
- Exposure to varied and challenging projects across industries
- A supportive, inclusive culture that values diversity and individuality
- Hybrid working model
- A holistic health and wellness program that supports you and your family
- Paid parental leave
- Reward and recognition program
- Competitive salary
